🩺 Framingham Heart Disease Risk Prediction

This is a complete, runnable project for predicting 10-year risk of coronary heart disease (CHD).

Structure

• data/raw/framingham.csv - placeholder sample file (replace with full dataset)
• src/ - preprocessing, training and utility code
• models/ - trained model and preprocessing pipeline will be saved here after training
• app/ - Streamlit app for interactive predictions

How to run

1. Install requirements:

   pip install -r requirements.txt

2. (Optional) Replace data/raw/framingham.csv with the original Framingham dataset CSV.
3. Train the model (this will save models/best_model.pkl and models/pipeline.pkl):

   python3 src/main.py

4. Run the Streamlit app:

   streamlit run app/streamlit_app.py

Notes

• The preprocessing pipeline is saved so the Streamlit app can reliably transform user input.
• The sample CSV included is small and only for structure—replace with the real framingham.csv for meaningful results.